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Neuron Digest Volume 05 Number 39
Neuron Digest Monday, 25 Sep 1989 Volume 5 : Issue 39
Today's Topics:
Visual Search & Complexity: BBS Call for Commentators
Successor for Eugene Garfield
Call for papers - APplying ANNS to Expert Systems
Yet Another Neural Conference (YANC)
Natural Language
EURASIP workshop on neural networks - call for contributions
Send submissions, questions, address maintenance and requests for old issues to
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Use "ftp" to get old issues from hplpm.hpl.hp.com (15.255.176.205).
------------------------------------------------------------
Subject: Visual Search & Complexity: BBS Call for Commentators
From: harnad@phoenix.Princeton.EDU (S. R. Harnad)
Date: Tue, 19 Sep 89 01:36:38 -0400
Below is the abstract of a forthcoming target article to appear in
Behavioral and Brain Sciences (BBS), an international,
interdisciplinary journal that provides Open Peer Commentary on important
and controversial current research in the biobehavioral and cognitive
sciences. Commentators must be current BBS Associates or nominated by a
current BBS Associate. To be considered as a commentator on this article,
to suggest other appropriate commentators, or for information about how
to become a BBS Associate, please send email to:
harnad@princeton.edu or write to:
BBS, 20 Nassau Street, #240, Princeton NJ 08542 [tel: 609-921-7771]
____________________________________________________________________
Analyzing Vision at the Complexity Level
John K. Tsotsos
Department of Computer Science,
University of Toronto and
The Canadian Institute for Advanced Research
The general problem of visual search can be shown to be computationally
intractable in a formal complexity-theoretic sense, yet visual search is
widely involved in everyday perception and biological systems manage to
perform it remarkably well. Complexity level analysis may resolve this
contradiction. Visual search can be reshaped into tractability through
approximations and by optimizing the resources devoted to visual processing.
Architectural constraints can be derived using the minimum cost principle to
rule out a large class of potential solutions. The evidence speaks strongly
against purely bottom-up approaches to vision. This analysis of visual
search performance in terms of task-directed influences on visual
information processing and complexity satisfaction allows a large body of
neurophysiological and psychological evidence to be tied together.
------------------------------
Subject: Successor for Eugene Garfield
From: harnad@clarity.Princeton.EDU (Stevan Harnad)
Date: Tue, 19 Sep 89 09:44:15 -0400
Eugene Garfield, the Founder of the Institute for Scientific Information in
Philadelphia (Current Contents, Science Citation Index) is retiring as
Editor-In-Chief of Current Contents and looking to groom a successor. The
choice is important not only to ISI but to the world scientific community,
because of the important role CC and SCI play. He's asked for my advice on a
successor, and I've decided to try polling the Net for nominations (a
thoroughly modern way of doing it, and in keeping, I think, with Garfield's
spirit of innovation).
The successor must be literate across scientific disciplines and able to
prepare (with a team of seven researchers working under him) one
article-length editorial per week in CC analyzing some aspect of science or
scientific communication. He must also direct all the different versions of
CC (life sciences, physical sciences, etc.) and the interactions with the
other divsisions of ISI (especially the citation indices).
In my view this is a position for an energetic, productive and innovative
person with a strong academic background either directly or indirectly
related to scientific communication.
Please forward nominations to me, not to the list as a whole.
Stevan Harnad
JVNET: harnad@confidence.princeton.edu harnad@princeton.edu
srh@flash.bellcore.comharnad@elbereth.rutgers.edu
CSNET:harnad%confidence.princeton.edu@relay.cs.net UUCP:
harnad@princeton.uucp BITNET: harnad@pucc.bitnet harnad1@umass.bitnet
Phone: (609)-921-7771 Department of Psychology, Princeton University,
Princeton NJ 08544
------------------------------
Subject: Call for papers - Applying ANNS to Expert Systems
From: masud cader <GJTAMUSC%AUVM2.BITNET@CORNELLC.cit.cornell.edu>
Date: Fri, 22 Sep 89 12:29:58 -0400
A Special Issue
Expert Systems with Applications:
An International Journal
Editor-in-chief: Special Editor:
Dr. Jay Liebowitz Dr. Larry R. Medsker
Dept of Management Science Dept of Computer Science
George Washington University and Information Systems
Washington, DC 20052 The American University
Washington, DC 20016
SPECIAL EDITION
APPLYING ARTIFICIAL NEURAL NETWORKS TO EXPERT SYSTEMS
OBJECTIVES
Artificial neural network (ANN) research has advanced dramatically in the
last few years and has attracted widespread interest. An important question
is to what extent ANNs can be useful in expert system applications and what
are the obstacles to effective synergism. In view of the potentially
significant impact of ANN's, we plan to dedicate a special issue of the
refereed journal "Expert Systems Applications: An International Journal" to
this subject.
TOPICS OF INTEREST
Topics include, but are not limited to
) Potential of and obstacles to the use of ANNs in expert systems
) State of the art of ANN technology applicable to expert systems
) Likely future developments in ANNs that impact expert systems
) Learning techniques and knowledge acquisition with ANN's
) Rule extraction from ANN results
) Interfaces between ANNs and expert systems
) Examples of applications using ANNs in expert systems
PAPER FORMAT IMPORTANT DATES
The format of manuscripts is December 1, 1989 Papers due
the same as the one described January 1, 1990 Acceptance
in "Information for
Contributors" on the back page. February 15, 1990 Final version due
Send Papers to: Dr. Larry R. Medsker
Chair and Associate Professor
Department of Computer Science and Information Systems
The American University
Washington, DC 20016 USA
Tel: (202) 885-3306 BITNET: MEDSKER@AUVM
------------------------------
Subject: Yet Another Neural Conference (YANC)
From: Mahesan Niranjan <niranjan%digsys.engineering.cambridge.ac.uk@NSFnet-Relay.AC.UK>
Date: Mon, 04 Sep 89 09:02:56 -0000
Here is the programme of the IEE Conference on ANNs.
niranjan
PS: IEE means Institute of Electrical Engineers (in UK)
PPS: ANN means Artificial Neural Networks
=============================================================================
IEE First International Conference on Artificial Neural Networks
at IEE Savoy Place 16-18 October 1989
Registration: Conference Services
IEE Savoy Place London WC2R 0BL
tel: 01-240-1871
fax: 01-240-7735
+++++++++++++++++++++++++++++++++++++++++++++++++++++++
PROGRAMME:
MONDAY 16 October
Registration 8.30
Formal Opening 9.30
Keynote address:
'On the significance of internal representations in neural networks', Kohonen.
Session 1 - Self Organising and Feedback Networks
'Hierarchical self-organisation: a review', Luttrell, RSRE
'A comparative study of the Kohonen and Multiedit neural net learning
algorithms', Kittler & Lucas, Surrey U
'Self-organisation based on the second maximum entropy principle',
Grabec, E K U, Yugoslavia
'A new learning rule for feedback neural networks', Tarassenko, Seifert,
Tombs & Reynolds, Oxford U & Murray, Edinburgh U
'Linear interpolation with binary neurons', Jonker, Coolenet & van der Gon,
Utrecht U
CLOSE - LUNCH 12.30
Session 2 - Implementation I 14.00
'Silicon implementation of neural networks', Murray, Edinburgh U
'Digital optical technology for the neural plane', Collins & Crossland,
STC & Vass, Edinburgh U
'Implementation of plasticity in MOS synapses', Card & Moore, Oxford U
'Integrated circuit emulation of ART1 Networks, Rao, Walker, Clark &
Akers, Arizona SU
'A limited connectivity switched capacitor analogue neural processing
circuit with digital storage of non-binary input weights', Bounds, RSRE
TEA - Poster session 1 15.40
'A non-competitive model for unsupervised learning' Hrycej, PCS, W.Germany
'Evolution equations for neural networks with arbitrary spacial structure',
Coolen, van der Gon & Ruijgrok, Utrecht U
'Hardware realisable models of neural processing', Taylor, Clarkson, KCL
& Gorse UCL, London
'On the training and the convergence of brain-state-in-a-box neural networks'
Vandenberghe & Vandewalle, Katholieke U Louven
'Learning in a single pass: a neural model for instantaneous principal
component analysis and linear regression', Rosenblatt, Concept Technols, Lelu
& Georgei, INIST/CNRS France
'Dynamic scheduling for feed-forward neural nets using transputers', Oglesby
& Mason, UC Swansea
'Analogue-to-digital conversin of self organising networks - the JAM
technique', Allinson, Johnson & Brown, York U
'Temporal effects in a simple neural network deived from an optical
implementation', Wright & White, BAe
'Neural networks and systolic arrays', Broomhead, Jones, McWhirter &
Shepherd, RSRE
'Infrared search and track signal processing: a potential application of
artificial neural computing', Chenoweth, Louisville U
'Optimal visual tracking with artificial neural networks, Dobnikar, Likar
& Podberegar, Ljubljana U
'Extension of the Hopfield neural network to a multilayer architecture for
optical implementation', Selviah & Midwinter, UCL, London
Session 3 - Vision 16.20
'A neural network approach to the computation of vision algorithms',
Psarrou & Buxton, QMC London
'A neural network implementation for real-time scene analysis', Allen, Adams
& Booth, Newcastle-upon-Tyne U
'Optical flow estimation using an artificial neural network', Zhongquan,
Purdue U
'Neural networks and Hough transform for pattern recognition', Costa &
Sandler, KCL, London
CLOSE OF SESSION 17.40
Cocktail Party in IEE Refectory 18.00-19.15
TUESDAY 17 OCTOBER
Session 4 - Speech 09.00
'Experimental comparison of a range of neural network and conventional
techniques for a word recognition task', Bedworth, Bridle, Flyn &
Ponting, RSRE, Fallside & Prager, Cambridge U, Fogelman & Bottu, EHEI,
Paris
'Two level recognition of isolated words using neural nets', Howard &
Huckvale, UCL, London
'Predictive analysis of speech using adaptive networks', Lowe, RSRE
'The application of artificial neural network techniques to low bit-range
speech coding', Kaouri & McCanny, Belfast U
'The modified Kanerva model: results for real time word recognition', Prager,
Clarke & Fallside Cambridge U
COFFEE - Poster session 2 10.40
'Identifying and discriminating temporal events with connectionist language
users', Allen Kaufman & Bahmidpaty, Illinois U
'Auditory processing in a post-cochlear stochastic neural network', Schwartz,
Demongeot, Herve, Wu & Escudier, ICP, France
'Neural networks for speech pattern classification', Renals & Rohwer,
Edinburgh U
'Weight limiting, weight quantisation and generalisation in multi-layer
perceptrons', Woodland, BTRL
'Using a connectionist network to eliminate redundancy from a phonetic
lattice in an analytical speech recognition system', Miclet & Caharel, CNET
'Speaker recognition with a neural classifier', Oglesby & Mason, UC Swansea
'Output functions for probabilistic logic nodes', Myers, ICST London
'Neural networks with restricted-range connections', Noest, Brain Research
Inst, Netherlands
'A hybrid neural network for temporal pattern recognition', McCulloch &
Bounds, RSRE
'A/D conversion and analog vector quantization using neural network models,
Svensson & Chen, Linkoping U
'Stochastic searching networks', Bishop, Reading U
Session 5 - Architectures 11.00
'Canonical neural nets based on logic nodes', Aleksander, ICST London
'Designing neural networks', Cybenko, Illinois U.
'A continuously adaptable artificial neural network', Sayers & Coghill,
Auckland U
'An analysis of silicon models of visual processing', Taylor, KC London
CLOSE SESSION - LUNCH 12.30
Session 6 - Signal and Data Processing 14.00
'Nonlinear decision feedback equalizers using neural network structures',
Siu, Cowan & Gibson, Edinburgh U
'Equalisation using neural networks', Jha, Durrani & Soraghan, Strathclyde U
'Artificial neural net algorithms in classifying electromyographic signals',
Pattichis, Middleton & Schizaz, MDRT of Cyprus, Schofield & Fawcett,
Newcastle Gen Hospital
'Recognition of radar signals by neural network', Beastall, RNEC UK
'Applications of neural networks to nondestructive testing', Upda & Upda,
Colorado U
TEA - Poster session 3 15.40
'Bearing estimation using neural optimisation methods', Jha & Durrani,
Strathclyde U
'An example of back propagation: diagnosis of dyspepsia', Ridella, Mella,
Arrigo, Marconi, Scalia & Mansi, CNR Italy
'The application of pulse processing neural networks in communications and
signal demodilation', Chesmore, Hull U
'Neural networks and GMDH regression: case studies and comparisons',
Harrison, Mort, Hasnain & Linkens, Sheffield U
'The application of neural networks to tactical and sensor data fusion
problems', Whittington & Spracklen, Aberdeen U
'A new learning paradigm for neural networks', Lucas & Damper, Southampton U
'Estimating hidden unit quantity of two-layer perceptrons performing binary
mappings', Gutierrez, Gondin & Wang, Arizona SU
'Training networks with discontinuous activation functions', Findlay,
Plessey Research
'Can a perceptron find Lyapunov functions?', Banks & Harrison, Sheffield U
Session 7 - Multilayer perceptrons I 16.20
'Single-layer look-up perceptrons (SLLUPS)', Tattersall & Foster, UEA
'Probabilistic learning on a network and a Markov random field', Wright, BAe
'Building symmetries into feedforward networks', Shawe-Taylor, London U
'Stochastic computing and reinforcement neural networks', Mars, Durham U &
Leaver, BAe
CLOSE OF SESSION 17.40
WEDNESDAY 18 October
Session 8 - Image Processing 9.00
'Optical character recognition using artificial networks: past and future',
Alpaydin, SFIT Switzerland
'An associative neural architecture for invariant pattern classification',
Austin, York U
'Self-organising Hopfield networks', Naillon & Theeten, LEPA France
'Comparison of neural networks and conventional techniques for feature
location in facial images', Hutchinson & Welsh, BTRL
'Expectation-based feedback in a neural network whcih recognises hand-drawn
characters and symbols', Banks & Elliman, Nottingham U
COFFEE - Poster session 4 10.40
'Matching of attributed and non-attributed graphs by use of Boltzmann
Machine algorithm', Kuner, Siemens W Germany
'Image processing with optimum neural networks', Bichsel, PSI Switzerland
'A comparative study of neural network structures for practical application
in a pattern recognition task', Bisset, Fiho & Fairhurst, Kent U
'On the use of pre-defined regions to minimise the training and complexity of
multy-layer neural networks', Houselander & Taylor, UCL London
'A novel training algorithm', Wang & Grondin, Arizona SU
'Diffusion learning for the multilayer perceptron', Hoptroff & Hall, KC
London
'Automatic learning of efficient behaviour', Watkins, Philips UK
'Learning with interferene cells', Sequeira & Tome, IST - AV Portugal
'Test of neural netork as a substitute for a traditional small-scale expert
system', Filippi & Walker, Rome U
'Image compression with competing multilayer perceptrons', Sirat & Viala,
LEP, France
Session 9 - Multilayer percepteons II 11.00
'The radial basis function network: adapting the transfer functions to suit
the experiment and the problem of generalisation', Lowe, RSRE
'On the analysis of multi-dimensional linear predictive/autoregressive data
by a class of single layer connectionist models', Fallside, Cambridge U
'Unlimited input accuracy in layered networks', Sirat & Zorer, LEP, France
'The properties and implementation of the non-linear vector space
connectionist model', Lynch & Rayner, Cambridge U
CLOSE OF SESSION - LUNCH 12.30
Session 10 - AI and Neural Networks 14.00
'Overcoming independence assumption in Bayesian neural networks', Kononenko,
FEE, Yugoslavia
'A neural controller', Saerens & Soquet, IRIDIA, Belgium
'Linked assembly of neural netwoeks to solve the interconnection problem,
Green & Noakes, Essex U
'Building expert systems on neural architecture', Fu, Wisconsin U
'COMPO - conceptual clustering with connectionist competitive learining',
de Garis, Bruxelles LU
CLOSE OF SESSION - TEA 15.40
Session 11 - Implementation II 16.10
'Ferroelectric connections for IC neural networks', Clark, Dey, & Grondin,
Arizona SU
'An implementation of fully analogue sum-of-product neural models', Daniel,
Waller & Bisset, Kent U
'The implementation of hardware neural net systems', Myers, BTRL
'A general purpose digital architecture for neural network simulation',
Duranton & Mauduit, LEPA, France
CLOSING REMARKS by Cowan 17.30
+++++++++++++++++++++++++++++++++++++++++++++++++++++++
=============================================================================
O.K. thanks for the attention......
------------------------------
Subject: Natural Language
From: Noel Sharkey <noel@CS.EXETER.AC.UK>
Date: Thu, 14 Sep 89 13:56:06 -0000
CALL FOR PAPERS
CONNECTION SCIENCE
(Journal of Neural Computing, Artificial
Intelligence and Cognitive Research)
Special Issue
CONNECTIONIST RESEARCH ON NATURAL LANGUAGE
Editor: Noel E. Sharkey, University of Exeter
Special Editorial Review Panel
Robert Allen, Bell Communication Research
Garrison W. Cottrell, University of California, San Diego
Michael G. Dyer, University of California, Los Angeles
Jeffrey L. Elman, University of California, San Diego
George Lakoff, University of California, Berkeley
Wendy W. Lehnert, University of Massachusetts at Amherst
Jordan Pollack, Ohio State University
Ronan Reilly, Beckmann Institute, Illinois
Bart Selman, University of Toronto
Paul Smolensky, University of Colorado, Boulder
This special issue will accept submissions of full length connectionist papers
and brief reports from any area of natural language research including:
Connectionist applications to AI problems in natural
language (e.g. paraphrase, summarisation, question answering).
New formalisms or algorithms for natural language processing.
Simulations of psychological data.
Memory modules or inference mechanisms to support natural
language processing.
Representational methods for natural language.
Techniques for ambiguity resolution.
Parsing.
Speech recognition, production, and processing.
Connectionist approaches to linguistics (phonology, morphology etc.).
Submissions of short reports or recent updates will also be accepted for
the Brief Reports section in the journal. No paper should be currently
submitted elsewhere.
DEADLINES
Deadline for submissions: December 15th 1989
Decision/reviews by: February 1990
Papers may be accepted to appear in regular issues if there is insufficient
space in the special issue.
For further information about the journal please contact
Lyn Shackleton
(Assistant Editor)
Centre for Connection Science JANET: lyn@uk.ac.exeter.cs
Dept. Computer ScienceeUniversity of Exeter UUCP: !ukc!expya!lyn
Exeter EX4 4PT
Devon BITNET: lyn@cs.exeter.ac.uk@UKACRL
U.K.
FAX: (0392) 264067
------------------------------
Subject: EURASIP workshop on neural networks - call for contributions
From: Luis Borges de Almeida <lba@alf.inesc.pt>
Date: Fri, 15 Sep 89 08:54:47 +0000
EURASIP WORKSHOP ON NEURAL NETWORKS
Sesimbra, Portugal
February 15-17, 1990
ANNOUNCEMENT AND 2nd CALL FOR CONTRIBUTIONS
The workshop will be held at the Hotel do Mar in Sesimbra, Portugal.
It will take place in 1990, from February 15 morning to 17 noon, and
will be sponsored by EURASIP, the European Association for Signal
Processing. It will be open to participants from all countries.
Short contributions from all fields related to the neural network area
are welcome (see submission procedures below). A (non-exclusive) list
of topics is given ahead. These contributions will be presented at the
workshop in poster format, and are intended for presentation of
ongoing work, projects (e.g. ESPRIT, BRAIN, DARPA,...), or for
proposing interesting views (even controversial or provocative). Short
contributions will not correspond to a paper in the proceedings, but
publication in a special issue of one of EURASIP's journals is being
considered.
Care is being taken to ensure that the workshop will have a high level
of quality. Full contributions have already been selected based on an
evaluation by an international technical committee, and the
proceedings volume containing these contributions will be published
and handed to participants at the workshop. The number of participants
will be limited to 50. A small number of non-contributing participants
may be accepted, depending on the total number of contributions. The
official language of the workshop will be English.
Dr. Georges Cybenko, of the University of Illinois, will be an invited
speaker. Contacts are on the way for invitation of another well known
researcher.
TOPICS:
- - signal processing (speech, image,...)
- - pattern recognition
- - algorithms (training procedures, new structures, speedups,...)
- - generalization
- - implementation
- - specific applications where NN have been proved better than other
approaches
- - industrial projects and realizations
SUBMISSION PROCEDURES
Submissions, both for long and for short contributions, will consist
of (strictly) 2-page summaries, plus a cover page indicating title,
author's name, affiliation, phone no., and e-mail address if possible.
Three copies should be sent directly to the Technical Chairman, at the
address given below. The calendar for short contributions is as
follows:
Deadline for submission Oct 1, 1989
Notification of acceptance Nov 15, 1989
THE LOCATION
Sesimbra is a fishermens village, located in a nice region about 30 km
south of Lisbon. Special transportation from/to Lisbon will be arranged.
The workshop will end on a Saturday at lunch time; therefore, the
participants will have the option of either flying back home in the
afternoon, or staying for sightseeing for the remainder of the weekend
in Sesimbra and/or Lisbon. An optional program for accompanying
persons is being organized.
For further information, send the coupon below to the general
chairman, or contact directly.
ORGANIZING COMMITTEE:
GENERAL CHAIRMAN
Luis B. Almeida
INESC
Apartado 10105
P-1017 LISBOA CODEX
PORTUGAL
Phone: +351-1-544607.
Fax: +351-1-525843.
E-mail: {any backbone, uunet}!mcvax!inesc!lba
TECHNICAL CHAIRMAN
Christian Wellekens
Philips Research Laboratory
Av. Van Becelaere 2
Box 8
B-1170 BRUSSELS
BELGIUM
Phone: +32-2-6742275
TECHNICAL COMMITTEE
John Bridle
Herve Bourlard
Frank Fallside
Francoise Fogelman-Soulie
Jeanny Herault
Larry Jackel
Renato de Mori
H. Muehlenbein
REGISTRATION, FINANCE, LOCAL ARRANGEMENTS
Joao Bilhim
INESC
Apartado 10105
P-1017 LISBOA CODEX
PORTUGAL
Phone: +351-1-545150.
Fax: +351-1-525843.
- ---------------------------------------------------------------------
Please keep me informed about the EURASIP Workshop on Neural Networks
Name:
University/Company:
Address:
Phone: E-mail:
[ ] I plan to attend the workshop
(send to Luis B. Almeida, INESC, Apartado 10105, P-1017 LISBOA CODEX, PORTUGAL)
------------------------------
End of Neurons Digest
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